get_wsa_enlil_simulation

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that it 'gets' data, implying a read-only operation, but doesn't cover critical aspects like authentication requirements, rate limits, data format, error handling, or whether it returns real-time or historical data. This leaves significant gaps for an agent to understand how to interact with it effectively.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded with the core purpose in the first sentence, followed by parameter details in a clear 'Args:' section. Every sentence earns its place by providing essential information without redundancy, though it could be slightly more structured with bullet points.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is minimally adequate. It covers the purpose and parameters well but lacks context about the data's nature, usage scenarios, or behavioral traits. Without annotations or output schema, more detail on what the tool returns would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds substantial value beyond the input schema, which has 0% description coverage. It explicitly defines both parameters (start_date and end_date), specifies their format (YYYY-MM-DD), and provides default behaviors (7 days before current date for start_date, current date for end_date). This fully compensates for the schema's lack of documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose as 'Get WSA+Enlil simulation data' with a specific verb ('Get') and resource ('WSA+Enlil simulation data'), distinguishing it from sibling tools focused on asteroids, Earth imagery, Mars rovers, and other space phenomena. However, it doesn't explicitly differentiate from potential similar data-fetching tools beyond naming the specific dataset.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description lacks context about what WSA+Enlil simulation data is used for, prerequisites, or comparisons with sibling tools like get_coronal_mass_ejection or get_solar_flare that might relate to solar activity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.